{"id":"W4412632954","doi":"10.1016/j.pnucene.2025.105929","title":"Phenomena Identification and Ranking Table (PIRT) for heat pipes","year":2025,"lang":"en","type":"article","venue":"Progress in Nuclear Energy","topic":"Heat Transfer and Boiling Studies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Office of Nuclear Energy; U.S. Department of Energy","keywords":"Ranking (information retrieval); Identification (biology); Table (database); Computer science; Data mining; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001001732,0.001134636,0.0009623175,0.00560997,0.0009814631,0.001976877,0.001212725,0.0008063084,0.02040537],"category_scores_gemma":[0.004590293,0.0002305661,0.002150656,0.002278269,0.0002528095,0.001466763,0.0009316936,0.001016943,0.006982484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007852442,"about_ca_system_score_gemma":0.002030995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003365693,"about_ca_topic_score_gemma":0.00429628,"domain_scores_codex":[0.9988273,0.0001885866,0.0001343274,0.0002651505,0.0004129582,0.0001716959],"domain_scores_gemma":[0.9973912,0.00107778,0.0002527432,0.0004906668,0.0006049993,0.0001825512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001241111,0.0007122011,0.0222907,0.00169025,0.0003206764,0.0004974424,0.0001309433,0.04882679,0.02261649,0.01370789,0.09908773,0.7888779],"study_design_scores_gemma":[0.0004091159,0.00250111,0.03953991,0.000254107,0.000495169,0.001464203,0.0005419615,0.7648575,0.04148052,0.04414139,0.1040603,0.0002547859],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1507962,0.003099801,0.6065775,0.001081938,0.0006431806,0.001621957,0.1418157,0.05849322,0.03587057],"genre_scores_gemma":[0.3590188,0.0007157287,0.5055802,0.0001857085,0.0001758293,0.0007995847,0.1235773,0.0007436193,0.009203237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02040537,"threshold_uncertainty_score":0.06826282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006705070918950284,"score_gpt":0.2287374698183053,"score_spread":0.222032398899355,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}